There are a number of popular statistical programs that can construct complicated regression models for a variety of needs. A simpler model such as this requires nothing more than some data, and maybe ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

If you are a researcher or student with experience in multiple linear regression ... logistic regression and looks at all the practical details involved in its implementation using the SAS System.

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Use the equation of the line of best fit to estimate Jill's score in her science test if she scored 14 in her Maths test. The general equation for a straight line is \(y = mx + c\). Looking at the ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...